Vipitis commited on
Commit
ea7867a
·
1 Parent(s): 0eec9d7

slight refactor in markdown

Browse files
Files changed (1) hide show
  1. app.py +13 -10
app.py CHANGED
@@ -7,13 +7,7 @@ suite = evaluate.EvaluationSuite.load("Vipitis/ShaderEval") #downloads it
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  # from ShaderEval import Suite
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  # suite = Suite("Vipitis/ShaderEval")
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- def run_suite(model_cp, snippet):
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- # print(model_cp, snippet)
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- results = suite.run(model_cp, snippet)
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- return results[0]
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-
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- with gr.Blocks() as site:
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- text = gr.Markdown("""# Welcome to the ShaderEval Suite.
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  This space hosts the ShaderEval Suite. more to follow soon.
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@@ -38,7 +32,7 @@ with gr.Blocks() as site:
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  ### try the demo below
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  - Select a **model checkpoint** from the "dropdown"
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- - Select how many **samples** to run (there us up to 100 from the test set)
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  - Click **Run** to run the suite
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  - The results will be displayed in the **Output** box
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@@ -47,10 +41,19 @@ with gr.Blocks() as site:
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  - supporting batches to speed up inference
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  - CER metric
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  - removing the pad_token warning
 
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  """
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- )
 
 
 
 
 
 
 
 
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  model_cp = gr.Textbox(value="gpt2", label="Model Checkpoint", interactive=True)
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- first_n = gr.Slider(minimum=1, maximum=100, default=15, label="num_samples", step=1.0)
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  output = gr.Textbox(label="Output")
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  run_button = gr.Button(label="Run")
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  run_button.click(fn=run_suite, inputs=[model_cp, first_n], outputs=output)
 
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  # from ShaderEval import Suite
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  # suite = Suite("Vipitis/ShaderEval")
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+ text = """# Welcome to the ShaderEval Suite.
 
 
 
 
 
 
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  This space hosts the ShaderEval Suite. more to follow soon.
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  ### try the demo below
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  - Select a **model checkpoint** from the "dropdown"
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+ - Select how many **samples** to run (there us up to 200 from the test set)
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  - Click **Run** to run the suite
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  - The results will be displayed in the **Output** box
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  - supporting batches to speed up inference
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  - CER metric
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  - removing the pad_token warning
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+ - adding OpenVINO pipelines for inference, pending on OpenVINO release
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  """
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+
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+
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+ def run_suite(model_cp, snippet):
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+ # print(model_cp, snippet)
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+ results = suite.run(model_cp, snippet)
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+ return results[0]
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+
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+ with gr.Blocks() as site:
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+ text_md = gr.Markdown(text)
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  model_cp = gr.Textbox(value="gpt2", label="Model Checkpoint", interactive=True)
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+ first_n = gr.Slider(minimum=1, maximum=200, default=15, label="num_samples", step=1.0)
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  output = gr.Textbox(label="Output")
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  run_button = gr.Button(label="Run")
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  run_button.click(fn=run_suite, inputs=[model_cp, first_n], outputs=output)